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CH 17-18 (Evaluate Model Performance (data robot leaderboard of models…
CH 17-18
Evaluate Model Performance
should know algorithms either on a functional level or conceptual
data robot leaderboard of models
logloss is good for optimizing overall success
decision tree classifier
find most predictive feature and place at root of tree
split into 2 groups that are as homogenus as possible
repeat for each new box
ROC curve
Tn,TF FP, FN
lift chart
enable drill down
Comparing Model Pairs
based on cross validation
set number of bins cocrretly
accuracy
speed to predict
familiarity
speed to build
insight